HMD Wake-Up via Head Gesture and Eye Direction
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Solution Overview
Problem
Current head-mountable displays (HMDs) lack intuitive and efficient methods for waking up from standby mode, relying on limited user interfaces that do not naturally align with how users interact with the devices.
Innovation Solution
Implementing a method that utilizes a combination of head movement and eye direction data to switch the HMD from a standby mode to an active mode, where users can wake the device by tilting their head and directing their eye towards the display, utilizing sensors such as cameras and light sources to detect eye position and head gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional wake-up methods are used, then the device can be activated, but the user interface is not intuitive and does not align with natural user interaction
Solution Approach 1:
The patent replaces traditional mechanical or manual wake-up interfaces (buttons, switches) with an optical-based eye-tracking system. The HMD uses cameras and light sources to detect eye position and head gestures, substituting physical interaction mechanisms with optical sensing to achieve more intuitive operation.
Solution Approach 2:
The system enables the HMD to automatically detect and respond to user intent through eye direction and head gesture recognition. The device serves itself by interpreting natural user behavior patterns without requiring explicit commands or complex interface interactions, making the wake-up process seamless and intuitive.
2Measurement precision
If multiple sensors are used to detect eye position and head gestures, then wake-up detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing functions (eye position detection, head gesture recognition, wake-up determination) into an integrated system. The camera module and light sources work together as a unified eye-tracking system, and the processor integrates data from both eye position and head movement sensors to make coordinated wake-up decisions, reducing overall system complexity through functional merging.
Solution Approach 2:
The camera and light source components serve multiple functions: they detect eye position for wake-up, track head gestures for interaction, and can potentially be used for other AR/VR applications. This multi-functionality justifies the sensor inclusion while maximizing their utility across different operational contexts.
Data Source
AI summary
Embodiments described herein may help to provide a wake-up mechanism for a computing device. An example method involves, the computing device: (a) receiving head-movement data that is indicative of head movement; (b) detecting at least a portion of the head-movement data that is indicative of a head gesture; (c) receiving eye-position data that is indicative of eye position; (d) detecting at least a portion of the eye-position data that is indicative of an eye being directed towards a display of a head-mounted device (HMD); and (e) causing the HMD to switch from a first operating mode to a second operating mode in response to the detection of both: (i) the eye-movement data that is indicative of an eye directed towards the display, and (ii) the head-movement data indicative of the head gesture.


